Stationarity and Autocorrelation

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Destrezas que aprenderás

Dimensionality Reduction, Unsupervised Learning, Cluster Analysis, Time Series, K Means Clustering


4.5 (104 calificaciones)

  • 5 stars
    72,11 %
  • 4 stars
    15,38 %
  • 3 stars
    6,73 %
  • 2 stars
    3,84 %
  • 1 star
    1,92 %


15 de may. de 2021

It is a good course to build foundation on the modeling of timerseries data. It will be good to add other lessons for anomaly detection on timeseries.


26 de nov. de 2021

Clearly explaind. I am currently working on time series forecasting and predictions. This course helped me a lot about the details of the topics.

De la lección

Stationarity and Time Series Smoothing

Impartido por:

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    Mark J Grover

    Digital Content Delivery Lead

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    Miguel Maldonado

    Machine Learning Curriculum Developer

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